Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Nigerian Community Health Centres Systems,

Clinical outcomes in Nigerian community health centers have been subject to variability due to differences in patient populations and healthcare delivery systems. The proposed study will employ a Bayesian hierarchical linear regression model to analyse clinical data from multiple centers. Uncertainty in parameter estimates will be quantified using posterior standard deviations. A key finding is that the effectiveness of certain interventions varies significantly across different health centre settings, with some showing substantial improvement over others. The Bayesian hierarchical approach provides a robust framework for understanding and comparing clinical outcomes across Nigerian community health centers. Health authorities should consider implementing targeted interventions based on local data to enhance service quality and patient care. Bayesian Hierarchical Model, Clinical Outcomes, Community Health Centers, Nigeria Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.